Afrint Village Level Data 2002 and 2008
Round I & II
Ghana, 2001 - 2008
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Reference ID
GHA-C-DAMAA-AFRINT-VILL-2002-2008-v1.0
Producer(s)
Lund University
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Created on
Sep 12, 2014
Last modified
Sep 12, 2014
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- Data files
-
Afrint Village
Level Data 2002
and 2008
‘ 2. ________________ ‘ (V482)
Data file: Afrint Village Level Data 2002 and 2008
Overview
Valid:
112
Invalid:
0
Type:
Discrete
Start:
1522
End:
1543
Width:
22
Range:
-
Format:
character
Questions and instructions
Literal question
‘ 2. ________________ ‘
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -7.0 | 30 |
26.8%
|
|
| -9.0 | 1 |
0.9%
|
|
| Abuja | 4 |
3.6%
|
|
| Accra | 2 |
1.8%
|
|
| BLANTYRE | 2 |
1.8%
|
|
| Begro | 1 |
0.9%
|
|
| Benin | 1 |
0.9%
|
|
| Copperbelt | 1 |
0.9%
|
|
| Dar es salaam | 4 |
3.6%
|
|
| Eldoret | 2 |
1.8%
|
|
| Ibadan | 1 |
0.9%
|
|
| Ifakara | 2 |
1.8%
|
|
| Ife | 1 |
0.9%
|
|
| Ifon Orolu | 2 |
1.8%
|
|
| Iganga | 1 |
0.9%
|
|
| Ilesha | 2 |
1.8%
|
|
| Iringa | 2 |
1.8%
|
|
| KASUNGU | 1 |
0.9%
|
|
| Kabale | 1 |
0.9%
|
|
| Kaduna | 1 |
0.9%
|
|
| Kakamega | 1 |
0.9%
|
|
| Kano | 2 |
1.8%
|
|
| Karatina | 1 |
0.9%
|
|
| Kigumba | 1 |
0.9%
|
|
| Kilombero | 2 |
1.8%
|
|
| Koforidua | 1 |
0.9%
|
|
| LILONGWE | 4 |
3.6%
|
|
| Lagos | 4 |
3.6%
|
|
| Lake shores | 1 |
0.9%
|
|
| Local commercial farms | 1 |
0.9%
|
|
| Locally | 1 |
0.9%
|
|
| MCHINJI | 1 |
0.9%
|
|
| Makete | 1 |
0.9%
|
|
| Maputo | 2 |
1.8%
|
|
| Masindi port | 1 |
0.9%
|
|
| Mazabuka | 1 |
0.9%
|
|
| Mbarara | 1 |
0.9%
|
|
| Mbeya | 2 |
1.8%
|
|
| Mlimba | 2 |
1.8%
|
|
| Morogoro | 1 |
0.9%
|
|
| Nairobi | 2 |
1.8%
|
|
| Naivasha | 1 |
0.9%
|
|
| Nampula | 1 |
0.9%
|
|
| Nanyuki | 1 |
0.9%
|
|
| National parks | 2 |
1.8%
|
|
| Navrongo | 1 |
0.9%
|
|
| Nyeri | 1 |
0.9%
|
|
| Orolu | 1 |
0.9%
|
|
| Oshogbo | 1 |
0.9%
|
|
| Osogbo | 2 |
1.8%
|
|
| Port Harcourt | 1 |
0.9%
|
|
| Tamale | 1 |
0.9%
|
|
| Tema | 1 |
0.9%
|
|
| Webuye | 1 |
0.9%
|
|
| copperbelt | 1 |
0.9%
|
|
| local commercial farms | 1 |
0.9%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Imputation and derivation
Imputation
General Village characteristics 3 (Rural-urban linkages)General Village characteristics 3